People Analytics Data Scientist

Workday•Pleasanton, CA

1d•$148,200 - $263,300•Hybrid

About The Position

Our team helps Workday to make better people decisions. If your professional passion is creating a high-performance work environment by pioneering innovative people analytics and insights —then we should talk. We are looking for an experienced data scientist ready to channel all their experiences into the challenge of creating pioneering solutions that deliver breakthrough business results. The bar is high, and we believe this is a noble cause to invent and apply the contemporary people analytics insights that extend and amplify our special culture during this period of exciting growth.

Requirements

Academic background in a quantitative field such as Computer Science, Statistics, Engineering, Economics, Physics, or related fields.
Proficiency with 1+ programming languages (e.g., R or Python) in addition to SQL
Experience in cleaning, analyzing, and visualizing both structured and unstructured data.
Proficient in machine learning methods
Familiarity with AWS and Github
Broad knowledge of applied statistics and causal inference
Strong business intuition, data analysis skills, as well as business presentation skills to share findings
Creative and passionate about seeking new solutions to problems and opportunities
At least 3 years of relevant industry experience (we are willing to consider early career talent if you are truly outstanding)

Nice To Haves

Advanced degree preferred.

Responsibilities

Interact with business leaders and product teams to identify business questions and issues for data analysis and experiments.
Transfer data between systems, especially Workday HRIS system and other software used by employees at Workday.
Develop algorithms and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
Conduct analytical research studies and establish predictive analytics related to recruiting, retention, growth, performance, team effectiveness, and leadership effectiveness connected to business needs.
Identify meaningful insights from both qualitative and quantitative data; interprets and communicates analysis insights and findings to business executives and relevant products teams to drive executive decision making about our talent strategy.
Partner with our product colleagues in People Analytics to align insights and strategies to implement as the new product becomes live.
Create compelling enablement content so that other business leaders and People Partners can readily use the insights provided.